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variational-method

Here are 40 public repositories matching this topic...

netket

netket / netket

Machine learning algorithms for many-body quantum systems

machine-learning deep-learning quantum machine-learning-algorithms neural-networks physics-simulation hamiltonian markov-chain-monte-carlo monte-carlo-methods exact-diagonalization variational-method jax variational-monte-carlo quantum-state-tomography complex-neural-network unitaryhack

Updated Dec 13, 2024
Python

FEniCS / ffcx

Next generation FEniCS Form Compiler for finite element forms

code-generation partial-differential-equations finite-element-methods variational-method fenicsx

Updated Dec 19, 2024
Python

FEniCS / ufl

UFL - Unified Form Language

python partial-differential-equations domain-specific-language variational-method finite-element-method finite-element-software fenicsx

Updated Dec 19, 2024
Python

icemiliang / pyvot

A Python implementation of Monge optimal transportation

clustering wasserstein-barycenters wasserstein optimal-transport variational-method monge wasserstein-means transshipment

Updated Oct 2, 2023
Python

plainerman / Variational-Doob

Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling

machine-learning neural-networks variational-method transition-paths

Updated Dec 4, 2024
Jupyter Notebook

UMD-AOSC / DA_Tutorial

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

data-science machine-learning tutorial machine-learning-algorithms geoscience particle-filter data-assimilation kalman-filter ensemble-prediction lorenz-attractor variational-method lorenz63

Updated Mar 7, 2024
Python

gher-uliege / DivaPythonTools

Interface to run Diva software tool (spatial interpolation).

python oceanography leaflet-map data-analysis matplotlib finite-elements diva ocean-sciences interpolation-methods variational-method

Updated Mar 27, 2019
Jupyter Notebook

PDAF

PDAF / PDAF

Parallel Data Assimilation Framework

particle-filter data-assimilation uncertainty-quantification variational-method nonlinear-systems ensemble-kalman-filter

Updated Nov 25, 2024
Fortran

simoneparisotto / Variational-Osmosis-for-Non-Linear-Image-Fusion

Variational Osmosis for Non-Linear Image Fusion

image-processing fusion osmosis image-fusion variational-method image-clone

Updated May 25, 2020
MATLAB

netket / netket_fidelity

Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.

machine-learning neural-network variational-method quantum-dynamics jax

Updated Oct 17, 2024
Python

tcompa / BoseHubbardGutzwiller

Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization

monte-carlo simulated-annealing optical-lattices quantum-physics variational-method

Updated Apr 14, 2021
Python

comp-physics / NISQ-Quantum-CFD

CFD solve on a current quantum computer

quantum-computing cfd navier-stokes quantum-algorithms variational-method nisq

Updated Oct 8, 2024
Jupyter Notebook

yumengch / pyPDAF

A Python interface to parallel data assimilation framework - pyPDAF

data-assimilation enkf variational-method

Updated Dec 17, 2024
Python

Tiernan8r / variational_principle

Implementation of the Variational Method for Quantum Mechanics in python.

python numpy quantum-mechanics python3 scipy matplotlib variational-method

Updated Dec 2, 2024
Python

CFEL-CMI / FlowBasis

FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.

machine-learning physics-simulation normalizing-flows variational-method cmi cfel

Updated Feb 12, 2024
Python

gudovskiy / contextflow

Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"

time-series unsupervised-learning context-aware density-estimation normalizing-flows anomaly-detection predictive-maintenance variational-method

Updated Jun 11, 2024
Python

yvesantonio / Data_Assimilation

Advanced Data Assimilation Algorithms and Methods

data-science model-selection data-analytics data-analysis ensemble-learning model-driven-development data-processing data-assimilation variational-inference kalman-filter ensemble-prediction variational-method ensemble-models variational-monte-carlo kalman-estimator model-identification ensemble-kalman-filter data-assimilation-enkf ensemble-kalman-inversion

Updated May 8, 2021
MATLAB

mendzmartin / FEMTISE.jl

Variational approximation by Gridap package to resolve T.I.S.E. in Julia

julia quantum-mechanics numerical-methods arpack schrodinger-equation finite-element-methods variational-method pde-solver galerkin-method gridap rayleigh-ritz eigenvalue-problem tise

Updated Nov 17, 2024
Julia

emaballarin / CARSO

👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)

machine-learning deep-neural-networks deep-learning neural-network artificial-intelligence neural-networks artificial-neural-networks robustness variational-autoencoder adversarial-machine-learning cognitive-computing variational-method neuro-inspired robust-machine-learning adversarial-defense neural-representations adversarial-robustness neural-representation

Updated Dec 11, 2024
Python

quadrivecteur / minimization

a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy

python machine-learning energy neural-network notebook physics random quantum keras machinelearning stochastic-processes harmonic-oscillator variational-method ammonia ground-state machinelearning-python minimization-algorithm

Updated Jun 25, 2020
Jupyter Notebook

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